Discovering JMP > Analyze Your Data > Analyze Relationships
Publication date: 08/13/2020

Analyze Relationships

Scatterplots and other such graphs can help you visualize relationships between variables. Once you have visualized relationships, the next step is to analyze those relationships so that you can describe them numerically. That numerical description of the relationship between variables is called a model. Even more importantly, a model also predicts the average value of one variable (Y) from the value of another variable (X). The X variable is also called a predictor. Generally, this model is called a regression model.

With JMP, the Fit Y by X platform and the Fit Model platform creates regression models.

Note: Only the basic platforms and options are covered here. For explanations of all platform options, see Basic Analysis, Essential Graphing, and the documentation listed in About This Chapter.

Table 5.3 shows the four primary types of relationships.

Table 5.3 Relationship Types

X

Y

Section

Continuous

Continuous

Use Regression with One Predictor

Use Regression with Multiple Predictors

Categorical

Continuous

Compare Averages for One Variable

Compare Averages for Multiple Variables

Categorical

Categorical

Compare Proportions

Continuous

Categorical

Logistic regression is an advanced topic. See Logistic Analysis in Basic Analysis.

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